Gene Visualizer is a small app designed to display an organism's genes visually. The program takes two sets of genes as input. One is a list of an organism's predicted genes, and the other is a list of an organism's known genes.
Gene Set Enrichment Analysis (GSEA) is a computational method that determines whether an a priori defined set of genes shows statistically significant, concordant differences between two biological states .
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The user can display any kind of quantitative data from gene and protein experiments directly within the pathways (colours represent the value). Automatic pathway update from KEGG, BioCarta and GenMAPP.
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The application loads microarray data (gene expression ratios) and determines which genes are up- or downregulated by a user-defined ratio cut-off level.For each experiment, lists of differentially expressed genes are computed.
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CLADIST is an open-source and integrated platform that provides gene-gene / protein-protein correlation, nearest neighbourhood, clustering and visualisation tools to allow groups of genes or proteins with similar coexpression patterns to be directly